Skip to Content
Artificial intelligence

Emotion recognition technology should be banned, says an AI research institute

December 13, 2019
face
faceUnsplash

There’s little scientific basis to emotion recognition technology, so it should be banned from use in decisions that affect people’s lives, says research institute AI Now in its annual report.

A booming market: Despite the lack of evidence that machines can work out how we’re feeling, emotion recognition is estimated to be at least a $20 billion market, and it’s growing rapidly. The technology is currently being used to assess job applicants and people suspected of crimes, and it’s being tested for further applications, such as in VR headsets to deduce gamers’ emotional states.

Further problems: There’s also evidence emotion recognition can amplify race and gender disparities. Regulators should step in to heavily restrict its use, and until then, AI companies should stop deploying it, AI Now said. Specifically, it cited a recent study by the Association for Psychological Science, which spent two years reviewing more than 1,000 papers on emotion detection and concluded it’s very hard to use facial expressions alone to accurately tell how someone is feeling. 

Other concerns: In its report, AI Now called for governments and businesses to stop using facial recognition technology for sensitive applications until the risks have been studied properly, and attacked the AI industry for its “systemic racism, misogyny, and lack of diversity.” It also called for mandatory disclosure of the AI’s industry environmental impact.

Deep Dive

Artificial intelligence

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

What’s next for generative video

OpenAI's Sora has raised the bar for AI moviemaking. Here are four things to bear in mind as we wrap our heads around what's coming.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.